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Design of a Graphical User Interface for rapid identification and parameterisation of bony landmarks of scoliotic spines from CT scans

de Visser, Hans, Adam, Clayton J., Evans, John H., Askin, Geoff N., & Pearcy, Mark J. (2006) Design of a Graphical User Interface for rapid identification and parameterisation of bony landmarks of scoliotic spines from CT scans. In 6th Annual Health and Medical Research Conference of Queensland, 23-24/11/2006, Brisbane, Australia.

Abstract

Introduction Spinal deformity disfigures the torso and reduces lung capacity. Consequently, it has a major detrimental effect on both the physical and psychological wellbeing of its sufferers. The main goal of this project is to improve the outcome of surgical deformity correction by providing patient-specific Finite Element (FE) models derived from pre-operative CT scans to predict the effects of surgical procedures.

Methods The FE models developed in this project are parametric, meaning they are not derived by directly meshing CT data, but by detecting bony landmarks from CT data to which a predefined mesh is fitted. Landmarks are identified using a custom-developed Graphical User Interface (GUI) which contains algorithms for automatic detection of specific groups of landmarks such as ribs and endplates. Landmark properties are fed directly into a preprocessor that generates the FE mesh.

Results Identifying all required landmarks of a complete spine takes between one and two hours. Intraobserver variations in coordinates and angles are small (standard deviations usually below 2mm and 3deg respectively).

Discussion & Conclusion Many of the commercially available algorithms can derive FE meshes directly from CT data in seconds, but high mesh densities and tetrahedral elements make these models unsuitable for whole-spine FE simulations. The semi-automated preprocessor presented allows better control over the FE mesh and material property assignment, and should eventually lead to a process where the surgeon is provided with a reliable FE prediction of the biomechanical outcome of the proposed surgery within a day or two of taking the CT scans.

Impact and interest:

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ID Code: 7597
Item Type: Conference Paper
Additional Information: Abstract only. For more information contact the author at c.adam@qut.edu.au
Keywords: Spinal deformity, user interface design, biomechanical modeling, finite element modeling
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > CLINICAL SCIENCES (110300) > Orthopaedics (110314)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Simulation and Modelling (080110)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > BIOMEDICAL ENGINEERING (090300)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Current > Institutes > Institute of Health and Biomedical Innovation
Deposited On: 11 May 2007
Last Modified: 11 Aug 2011 04:42

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